Researchers at Liverpool University have created a collaborative AI tool that reduces the time and effort required to discover new materials. The new tool has led to the discovery of four new materials including a new family of solid-state materials that conduct lithium, an advance that is key to the development of solid-state batteries offering longer range and increased safety for electric vehicles. Further promising materials are said to be in development. The Liverpool team's findings are detailed in Nature Communications. The tool brings together AI with human knowledge to prioritise those parts of unexplored chemical space where new functional materials are most likely to be found.
The new tool has already led to the discovery of four new materials including a new family of solid state materials that conduct lithium. Such solid electrolytes will be key to the development of solid state batteries offering longer range and increased safety for electric vehicles. Further promising materials are in development. The University of Liverpool research team created a collaborative AI tool designed to reduce the time and effort required to discover truly new materials. The tool brings together artificial intelligence with human knowledge to prioritise those parts of unexplored chemical space where new functional materials are most likely to be found.
Artificial Intelligence (AI) could help promote the development of material science and accelerate the invention of new materials, according to Chinese experts. Many key and core technologies that need breakthroughs in China are related to the material science, and AI could help in these areas, Zhao Zhongxian, an academician of the Chinese Academy of Sciences (CAS), who won China's top science award, said at a science forum opened in Dongguan, Guangdong Province, Monday. Traditional methods for material composition analysis are time-consuming and expensive. It takes an average of 10 years for a laboratory to develop new materials and 20 years for mass production. With AI technology, the development and application cycle of new materials is expected to be shortened by more than half.
Toyota has turned to artificial intelligence for help in the hunt for new advanced battery materials and fuel cell catalysts. The Toyota Research Institute (TRI) is investing $35 million into the project and is teaming up with various institutions and companies, including MIT and Stanford University. By using artificial intelligence techniques, such as machine learning, the researchers can reduce the time it takes to conjure up new materials it wants to use for future zero-emission and carbon-neutral vehicles.